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Browse files- config.yaml +90 -0
- optimizer.pt +3 -0
- samples/.ipynb_checkpoints/1728962056063__000000000_0-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728962067153__000000000_1-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728963094622__000000500_0-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728963105876__000000500_1-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728964136428__000001000_0-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728964147762__000001000_1-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728965389513__000001500_0-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728965400767__000001500_1-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728966421311__000002000_0-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728966432684__000002000_1-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728967682326__000002500_0-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728967693644__000002500_1-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728968727224__000003000_0-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728968738461__000003000_1-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728969974116__000003500_0-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728969985358__000003500_1-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728971007928__000004000_0-checkpoint.jpg +0 -0
- samples/.ipynb_checkpoints/1728971019158__000004000_1-checkpoint.jpg +0 -0
- samples/1728962056063__000000000_0.jpg +0 -0
- samples/1728962067153__000000000_1.jpg +0 -0
- samples/1728963094622__000000500_0.jpg +0 -0
- samples/1728963105876__000000500_1.jpg +0 -0
- samples/1728964136428__000001000_0.jpg +0 -0
- samples/1728964147762__000001000_1.jpg +0 -0
- samples/1728965389513__000001500_0.jpg +0 -0
- samples/1728965400767__000001500_1.jpg +0 -0
- samples/1728966421311__000002000_0.jpg +0 -0
- samples/1728966432684__000002000_1.jpg +0 -0
- samples/1728967682326__000002500_0.jpg +0 -0
- samples/1728967693644__000002500_1.jpg +0 -0
- samples/1728968727224__000003000_0.jpg +0 -0
- samples/1728968738461__000003000_1.jpg +0 -0
- samples/1728969974116__000003500_0.jpg +0 -0
- samples/1728969985358__000003500_1.jpg +0 -0
- samples/1728971007928__000004000_0.jpg +0 -0
- samples/1728971019158__000004000_1.jpg +0 -0
- seasides_000001000.safetensors +3 -0
- seasides_000002000.safetensors +3 -0
- seasides_000003000.safetensors +3 -0
- seasides_000004000.safetensors +3 -0
config.yaml
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job: extension
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config:
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name: seasides
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process:
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- type: sd_trainer
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training_folder: output
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device: cuda:0
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network:
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type: lora
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linear: 32
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linear_alpha: 32
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save:
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dtype: float16
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save_every: 1000
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max_step_saves_to_keep: 5
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push_to_hub: true
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hf_repo_id: seasides
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hf_private: false
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datasets:
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- folder_path: /workspace/Seasides
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caption_ext: txt
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caption_dropout_rate: 0.05
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shuffle_tokens: false
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cache_latents_to_disk: true
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resolution:
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- 512
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- 768
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- 1024
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train:
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batch_size: 1
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steps: 5000
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gradient_accumulation_steps: 1
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train_unet: true
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train_text_encoder: false
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gradient_checkpointing: true
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noise_scheduler: flowmatch
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optimizer: adamw8bit
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lr: 0.0004
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ema_config:
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use_ema: true
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ema_decay: 0.99
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dtype: bf16
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model:
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name_or_path: black-forest-labs/FLUX.1-dev
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is_flux: true
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quantize: false
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sample:
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sampler: flowmatch
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sample_every: 500
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width: 1344
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height: 768
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prompts:
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- This image is a high-resolution photograph of an outdoor beachfront dining
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area with a stunning view of a tropical paradise. The scene is set under a
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pergola adorned with lush greenery and a string of warm, yellow light bulbs
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hanging overhead. The dining area features several round, white tables with
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wicker chairs, each adorned with small, white vases filled with dried flowers.
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The tables are arranged neatly in a semi-circle, facing the breathtaking view
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of a turquoise ocean meeting a bright blue sky dotted with fluffy white clouds.
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In the foreground, a wooden countertop holds a variety of items, including
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a white coffee maker, a small white pitcher, a black coffee cup, and a plate
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with a slice of cake. The countertop is also adorned with a small green plant
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and a glass jar with a dark liquid, possibly coffee. The background includes
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a lush, green hillside with scattered trees and houses, adding to the idyllic
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setting. The overall ambiance is serene and inviting, perfect for a tropical
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getaway.
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- This is a high-resolution photograph of a serene beachside setting, capturing
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| 68 |
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a cozy outdoor lounge area under a wooden pergola. The foreground features
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| 69 |
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a plush, off-white sofa adorned with colorful, patterned throw pillows in
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shades of green, orange, and white. In front of the sofa is a round wooden
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coffee table with a glass vase holding white flowers and a small, open book,
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suggesting a leisurely reading spot. A large, white umbrella provides shade,
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supported by a wooden post. To the left, a white, cushioned armchair and a
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matching ottoman add to the seating arrangements. The floor is covered with
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a richly patterned, multi-colored rug, adding warmth and texture. The background
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showcases a pristine beach with soft, white sand and turquoise waters gently
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lapping at the shore. Palm trees with lush, green fronds frame the scene,
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adding to the tropical ambiance. A few rocks dot the shoreline, and the horizon
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is dotted with small, distant boats. The sky above is a clear, bright blue
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with a few fluffy white clouds, enhancing the idyllic, peaceful atmosphere.
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The overall style is modern and luxurious, with a focus on comfort and relaxation
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in a picturesque beach setting.
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neg: ''
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seed: 42
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walk_seed: true
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guidance_scale: 4
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sample_steps: 20
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meta:
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name: human_training
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version: '1.0'
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fe0eb6b6524f7f365458d122ed62aecb57860fa716e87b1385f26daf31f3ade
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size 350203012
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samples/.ipynb_checkpoints/1728962056063__000000000_0-checkpoint.jpg
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samples/.ipynb_checkpoints/1728962067153__000000000_1-checkpoint.jpg
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samples/.ipynb_checkpoints/1728963094622__000000500_0-checkpoint.jpg
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samples/.ipynb_checkpoints/1728963105876__000000500_1-checkpoint.jpg
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samples/.ipynb_checkpoints/1728964136428__000001000_0-checkpoint.jpg
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samples/.ipynb_checkpoints/1728964147762__000001000_1-checkpoint.jpg
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samples/.ipynb_checkpoints/1728965389513__000001500_0-checkpoint.jpg
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samples/.ipynb_checkpoints/1728965400767__000001500_1-checkpoint.jpg
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samples/.ipynb_checkpoints/1728966421311__000002000_0-checkpoint.jpg
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samples/.ipynb_checkpoints/1728966432684__000002000_1-checkpoint.jpg
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samples/.ipynb_checkpoints/1728967682326__000002500_0-checkpoint.jpg
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samples/.ipynb_checkpoints/1728967693644__000002500_1-checkpoint.jpg
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samples/.ipynb_checkpoints/1728968727224__000003000_0-checkpoint.jpg
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samples/.ipynb_checkpoints/1728968738461__000003000_1-checkpoint.jpg
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samples/.ipynb_checkpoints/1728969974116__000003500_0-checkpoint.jpg
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samples/.ipynb_checkpoints/1728969985358__000003500_1-checkpoint.jpg
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samples/.ipynb_checkpoints/1728971007928__000004000_0-checkpoint.jpg
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samples/.ipynb_checkpoints/1728971019158__000004000_1-checkpoint.jpg
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samples/1728962056063__000000000_0.jpg
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samples/1728962067153__000000000_1.jpg
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samples/1728963094622__000000500_0.jpg
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samples/1728963105876__000000500_1.jpg
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samples/1728964136428__000001000_0.jpg
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samples/1728964147762__000001000_1.jpg
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samples/1728965389513__000001500_0.jpg
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samples/1728965400767__000001500_1.jpg
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samples/1728966421311__000002000_0.jpg
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samples/1728966432684__000002000_1.jpg
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samples/1728967682326__000002500_0.jpg
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samples/1728967693644__000002500_1.jpg
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samples/1728968727224__000003000_0.jpg
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samples/1728968738461__000003000_1.jpg
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samples/1728969974116__000003500_0.jpg
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samples/1728969985358__000003500_1.jpg
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samples/1728971007928__000004000_0.jpg
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samples/1728971019158__000004000_1.jpg
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seasides_000001000.safetensors
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version https://git-lfs.github.com/spec/v1
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size 343805384
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seasides_000002000.safetensors
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version https://git-lfs.github.com/spec/v1
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size 343805384
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seasides_000003000.safetensors
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version https://git-lfs.github.com/spec/v1
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size 343805384
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seasides_000004000.safetensors
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version https://git-lfs.github.com/spec/v1
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size 343805392
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